Discrimination of mycoplasma infection using machine learning models trained on autofluorescence signatures of host cells-Reference-Cited by-同舟云学术

Discrimination of mycoplasma infection using machine learning models trained on autofluorescence signatures of host cells

Published:2024 Issue: Volume: Page:
ISSN:2635-0998
Container-title:Sensors & Diagnostics
language:en
Short-container-title:Sens. Diagn.

Author:

Bamba Kenzo¹^ORCID,Takabe Kyosuke²^ORCID,Daitoku Hiroaki³^ORCID,Tanaka Yoshikazu¹^ORCID,Ohtani Azusa¹,Ozawa Midori¹,Fukamizu Akiyoshi³,Nomura Nobuhiko²⁴^ORCID,Kohara Arihiro¹^ORCID,Kunoh Tatsuki²^ORCID

Affiliation:

1. JCRB Cell Bank, Center for Drug Discovery Resources Research, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki, Osaka 567-0085, Japan

2. Faculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan

3. Center for Tsukuba Advanced Research Alliance, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan

4. Microbiology Research Center for Sustainability, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan

Abstract

Cellular autofluorescence signatures, considered to represent the physiological state of individual cells, allow us to discriminate mycoplasma infection using machine learning models.

Funder

Japan Society for the Promotion of Science

Japan Science and Technology Agency

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/SD/D3SD00175J

Reference32 articles.

1. Intra- and Interspecies Variability of Single-Cell Innate Fluorescence Signature of Microbial Cell

2. pH Dependence of the Fluorescence Lifetime of FAD in Solution and in Cells

3. Carbonyl-based blue autofluorescence of proteins and amino acids

4. NADH Autofluorescence-A Marker on its Way to Boost Bioenergetic Research

5. Objective Assessment of Endogenous Collagen In Vivo during Tissue Repair by Laser Induced Fluorescence